Title: An integrated approach to performance measurement, analysis, improvements and knowledge management in healthcare sector

Authors: R. Balamurugan; H. Abdul Zubar

Addresses: Department of Mechanical Engineering, M. Kumarasamy College of Engineering, Karur, Tamilnadu, 639113, India ' Department of Mechanical Engineering, Knowledge Institute of Technology, Salem, Tamilnadu, 637504, India

Abstract: In this proposed work, the knowledge management process adopted for analysing healthcare data used to making the particular decision in care services. In this paper, a fuzzy hybridised convolutional neural network (FCNN) model is stated to guess the class of healthcare data. This model collects the knowledgeable information from the dataset and builds the decision table based on the collected features from datasets. The attributes that are unrelated are deleted by using PCA algorithm. The performance of our classification technique is measured with various metrics such as accuracy, F-measure, G-mean, precision, and recall. The experimental results while compared with some of the existing machine learning methods like probabilistic neural network, support vector machine and neural network, shows the higher performance of FCNN. This model presented in this paper act as a decision support pattern and knowledge management in healthcare for therapeutic specialists.

Keywords: performance improvements; healthcare sector; data analytic techniques; knowledge management.

DOI: 10.1504/IJKMS.2019.097130

International Journal of Knowledge Management Studies, 2019 Vol.10 No.1, pp.84 - 99

Received: 30 May 2018
Accepted: 25 Jul 2018
Published online: 21 Dec 2018 *

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